Overview of data and code for the replication of �Intraparty Cleavages and Partisan Attitudes Toward Labor Policy,� published in Political Behavior.In order to replicate the analyses in the paper, the user must ensure that four raw datasets are first downloaded and added to one�s working directory in R. Of the four datasets, three are included in the Dataverse replication file for the article: CCES 2012, BLS 2014, and GSS 2006. These are publicly available and do not require log-in credentials to access. The fourth dataset�March 2015 Pew Political Survey�must be accessed with log-in credentials. Once the user accesses and downloads the Pew dataset, all four raw datasets must be added to their working directory.The URLs to access and download the four raw datasets can be found here:(1)  CCES 2012 (https://dataverse.harvard.edu/dataset.xhtml?persistentId=hdl:1902.1/21447)(2) May 2014 BLS Occupational Data (https://www.bls.gov/oes/special.requests/oesm14nat.zip)(3) Pew March 2015 Survey (http://www.people-press.org/dataset/march-2015-political-survey/) **Log in required**(4) General Social Survey 2006 (http://gss.norc.org/get-the-data/stata)Upon completion of the data acquisition, the user must download the R replication code to perform all the analyses found in the article. The replication code can be obtained by downloading the file called �intraparty_rep_code.R.�At this point, assuming all raw datasets have been downloaded and added to the working directory, the user can then run every single line of code contained in the script �intraparty_rep_script.R� from top to bottom to load in the raw data and replicate all analyses, tables, figures, and plots found in the article. Additional instructions are included in the R script that specify which R objects correspond to which tables/figures/plots in the article so that the user can view these objects and examine the code used to construct them. Lines 47 through 54 can be used to view the results of the analyses using the map() function of the �purrr� package in combination with summary() to produce the model results that correspond to each table. In addition, the code used to render the tables in the manuscript can be found at the end of the script. These tables employ the R package �texreg� which must be used in combination with knitr (RMarkdown). Therefore, the script to produce the tables is �commented out� so that the user can run the whole script without interruption in the main R console.